A. Kurzawski

Computational Mechanics · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom A. Kurzawski trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jeremy A. Templeton

Who trusts A. Kurzawski overall

  1. Justin A. Sirignano
  2. Jin-Long Wu
  3. Steven L. Brunton
  4. Nicholas Geneva
  5. Heng Xiao
  6. Konstantinos Spiliopoulos
  7. Ricardo Vinuesa
  8. Ameya Dilip Jagtap
  9. P. O’Gorman
  10. Nils Thürey

Papers from A. Kurzawski's perspective

Ordered by how strongly the researchers A. Kurzawski trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Large-Scale Video Classification with Convolutional Neural Networks
  2. A paradigm for data-driven predictive modeling using field inversion and machine learning
  3. Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty
  4. An explicit algebraic Reynolds stress model for incompressible and compressible turbulent flows (Journal of Fluid Mechanics)
  5. Neural network modeling for near wall turbulent flow
  6. Reynolds number dependence of mean flow structure in square duct turbulence (Journal of Fluid Mechanics)
  7. ImageNet classification with deep convolutional neural networks
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Random Forests

Their papers